tg Tests for a future article. Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 Java SciMark 2.2 Computational Test: Composite Mflops > Higher Is Better a . 2908.79 |================================================================== b . 2916.23 |================================================================== Java SciMark 2.2 Computational Test: Monte Carlo Mflops > Higher Is Better a . 1245.28 |================================================================== b . 1246.36 |================================================================== Java SciMark 2.2 Computational Test: Fast Fourier Transform Mflops > Higher Is Better a . 719.93 |=================================================================== b . 725.12 |=================================================================== Java SciMark 2.2 Computational Test: Sparse Matrix Multiply Mflops > Higher Is Better a . 3708.47 |================================================================== b . 3733.82 |================================================================== Java SciMark 2.2 Computational Test: Dense LU Matrix Factorization Mflops > Higher Is Better a . 6529.95 |================================================================== b . 6531.95 |================================================================== Java SciMark 2.2 Computational Test: Jacobi Successive Over-Relaxation Mflops > Higher Is Better a . 2340.35 |================================================================== b . 2343.93 |================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better a . 7.05 |===================================================================== b . 7.04 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better a . 0.09 |===================================================================== b . 0.09 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better a . 0.04 |===================================================================== b . 0.04 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better a . 3.60 |===================================================================== b . 3.15 |============================================================ WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better a . 0.01 |===================================================================== b . 0.01 |===================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 5.3366 |=================================================================== b . 5.3316 |=================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 7.143 |==================================================================== b . 7.111 |==================================================================== ArrayFire 3.9 Test: BLAS CPU FP16 GFLOPS > Higher Is Better a . 64.54 |==================================================================== b . 64.29 |==================================================================== ArrayFire 3.9 Test: BLAS CPU FP32 GFLOPS > Higher Is Better a . 394.69 |=================================================================== b . 106.24 |================== ArrayFire 3.9 Test: Conjugate Gradient CPU ms < Lower Is Better a . 13.42 |==================================================================== b . 13.12 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 20.04 |==================================================================== b . 15.47 |==================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 9.19 |===================================================================== b . 7.33 |======================================================= PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 13.77 |==================================================================== b . 10.75 |===================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 13.78 |==================================================================== b . 10.77 |===================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 13.76 |==================================================================== b . 10.75 |===================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.44 |===================================================================== b . 4.27 |====================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.40 |===================================================================== b . 3.84 |================================================= PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.45 |===================================================================== b . 4.29 |====================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 5.52 |===================================================================== b . 4.49 |======================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 3.39 |===================================================================== b . 2.52 |=================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 3.48 |===================================================================== b . 2.99 |=========================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 3.23 |===================================================================== b . 2.97 |=============================================================== Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 233.56 |=================================================== b . 308.05 |===================================================================